Update README.md

README.md

@@ -24,37 +24,14 @@ This modelcard aims to be a base template for new models. It has been generated
 
 
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** [scfengv](https://huggingface.co/scfengv)
+- **Model type:** BERT Multi-label Text Classification
+- **Language:** Chinese (Zh)
+- **Finetuned from model:** [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese)
 
 ### Model Sources [optional]
 
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
+- **Repository:** [scfengv/NLP_DL-Topic-Modeling-for-TVL-livestream-comments](https://github.com/scfengv/NLP_DL-Topic-Modeling-for-TVL-livestream-comments)
 
 ## How to Get Started with the Model
 
@@ -100,57 +77,21 @@ print(predictions)
 
 The model was trained using the following hyperparameters:
 
+```
 Learning rate: 1e-05
 Batch size: 32
 Number of epochs: 10
 Optimizer: Adam
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
+```
 
 ## Evaluation
 
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
 ### Results
 
 - Accuracy: 0.9592504607823059
 - F1 Score (Micro): 0.9740588950133884
 - F1 Score (Macro): 0.9757074189160264
 
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
 ## Technical Specifications [optional]
 
 ### Model Architecture and Objective
@@ -163,20 +104,9 @@ Optimizer: Adam
 
 #### Hardware
 
-[More Information Needed]
+- NVIDIA Quadro RTX8000
 
 #### Software
 
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+- PyTorch
+- HuggingFace